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Data Quality in the Context of Longitudinal Research Studies
U: NFuture2019: Knowledge in the Digital Age. / Bago, Petra; Hebrang Grgić, Ivana; Ivanjko, Tomislav; Juričić, Vedran; Miklošević, Željka; Stublić, Helena (ur.). Zagreb: Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb and FF press, 2019. str. 98-104. https://doi.org/10.17234/INFUTURE.2019.12
Carić, Tonko; Kocijan, Kristina

Institucijski repozitorij: ODRAZ

Citirajte ovaj rad

Carić, T. i Kocijan, K. (2019). Data Quality in the Context of Longitudinal Research Studies. U P. Bago, (Ur.), I. Hebrang Grgić, (Ur.), T. Ivanjko, (Ur.), V. Juričić, (Ur.), Ž. Miklošević, (Ur.), H. Stublić, (Ur.), NFuture2019: Knowledge in the Digital Age (str. 98-104). Zagreb: Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb and FF press. doi: 10.17234/INFUTURE.2019.12

Carić, Tonko i Kristina Kocijan. "Data Quality in the Context of Longitudinal Research Studies." NFuture2019: Knowledge in the Digital Age, Ur. Petra Bago, Ur. Ivana Hebrang Grgić, Ur. Tomislav Ivanjko, Ur. Vedran Juričić, Ur. Željka Miklošević, Ur. Helena Stublić, Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb and FF press, 2019, str. 98-104. https://urn.nsk.hr/urn:nbn:hr:131:091189

Carić, Tonko i Kristina Kocijan. "Data Quality in the Context of Longitudinal Research Studies." U NFuture2019: Knowledge in the Digital Age, 98-104. Zagreb: Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb and FF press, 2019. Citirano 31.08.2024.. https://urn.nsk.hr/urn:nbn:hr:131:091189

Carić, T. i Kocijan, K. (2019) 'Data Quality in the Context of Longitudinal Research Studies', u Bago, P. (ur.), Hebrang Grgić, I. (ur.), Ivanjko, T. (ur.), Juričić, V. (ur.), Miklošević, Ž. (ur.), Stublić, H. (ur.), NFuture2019: Knowledge in the Digital Age, Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb and FF press, Zagreb, str. 98-104. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:131:091189 (Datum pristupa: 31.08.2024.)

Carić T, Kocijan K. Data Quality in the Context of Longitudinal Research Studies. U: P. Bago, ur., I. Hebrang Grgić, ur., T. Ivanjko, ur., V. Juričić, ur., Ž. Miklošević, ur., H. Stublić, ur. NFuture2019: Knowledge in the Digital Age. Zagreb: Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb and FF press; 2019. Str. 98-104. [pristupljeno 31.08.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:131:091189

T. Carić i K. Kocijan, "Data Quality in the Context of Longitudinal Research Studies", NFuture2019: Knowledge in the Digital Age, P. Bago et al., Ur. Zagreb: Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb and FF press, 2019. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:131:091189 [Citirano: 31.08.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:131:091189
Podaci o radu
Naslov (engleski)Data Quality in the Context of Longitudinal Research Studies
AutorTonko Carić
AutorKristina Kocijan
UrednikPetra Bago
UrednikIvana Hebrang Grgić
UrednikTomislav Ivanjko
UrednikVedran Juričić
UrednikŽeljka Miklošević
UrednikHelena Stublić
Autorova ustanovaSveučilište u Zagrebu
Filozofski fakultet
(Odsjek za informacijske i komunikacijske znanosti)
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Informacijske i komunikacijske znanosti
Sažetak (engleski)
This paper discusses the concept of data quality in the context of longitudinal research. By deconstructing quality assurance process and data collection strategies through a case study of the “Croatian Birth Cohort Study“, we try to define causes and sources of poor data quality in the context of longitudinal studies. Besides the problems discussed throughout the known literature (panel conditioning, sample attrition, recall bias, temporal and financial demands), we introduce singlesource problems, multi-source problems, security problems, design questionnaire problems and QA workflow problems as important aspects in the domain of the possible sources of errors. Additionaly we propose models for eliminating the errors through prevention and detection in order to improve data quality.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Prethodno/kratko priopćenje
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov zbornikaNFuture2019: Knowledge in the Digital Age
Brojčani podacistr. 98-104
e-ISSN2706-3518
DOIhttps://doi.org/10.17234/INFUTURE.2019.12
URN:NBNurn:nbn:hr:131:091189
Datum objave publikacije2019-11
SkupNaziv: INFuture2019: Knowledge in the Digital Age
Kratica: INFuture2019
Lokacija: Zagreb, Hrvatska
Organizator: Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb
Datum početka: 2019-11-21
Datum završetka: 2019-11-22
Vrsta izlaganja: Predavanje
URL dokumentahttps://infoz.ffzg.hr/infuture/images/papers/INFuture%202019%20Proceedings.pdf
Vrsta resursaTekst
IzdavačDepartment of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb and FF press
Mjesto izdavanjaZagreb
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2019-11-26 12:40:24